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2026年全球能源電力人工智慧（AI）市場報告

Artificial Intelligence (AI) in Energy And Power Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧（AI）在能源電力市場的規模迅速擴張，預計將從2025年的64.5億美元成長到2026年的79.5億美元，複合年成長率（CAGR）為23.2%。過去幾年的成長被認為歸因於多種因素，例如預測性維護工具的早期應用、可再生能源滲透率的不斷提高、對需求預測系統的需求不斷成長、智慧電錶的普及以及數位監控基礎設施的擴展。

預計未來幾年，能源電力產業的人工智慧（AI）市場將呈指數級成長，到2030年市場規模將達到183.1億美元，複合年成長率（CAGR）為23.2%。預測期內的成長可歸因於人工智慧驅動的電網自動化技術的進步、分散式能源的日益普及、對即時負載平衡需求的不斷成長、基於人工智慧的能源分析平台的擴展以及用於能源最佳化的機器學習模型的進步。預測期內的關鍵趨勢包括：人工智慧在需求預測最佳化方面的應用日益廣泛、人工智慧賦能的智慧電網系統應用不斷成長、人工智慧在可再生能源併網中的應用日益廣泛、基於人工智慧的能源管理解決方案的擴展以及人工智慧在配電和負載平衡中的應用日益增強。

預計未來一段時間內，能源領域的投資成長將推動人工智慧（AI）在能源和電力市場的擴張。這些投資涉及資源（通常是資本）的配置，旨在隨著時間的推移創造收入和利潤。在能源和電力領域，投資在利用各種形式的人工智慧（AI）方面發揮了關鍵作用，以增強決策能力、最佳化營運、改善能源管理並提高整個行業的服務可靠性和品質。例如，總部位於法國的政府間組織—國際能源總署（IEA）在2025年10月報告稱，預計到2025年，能源領域的資本投資將達到3.3兆美元，比2024年實際成長2%。因此，能源領域投資的成長正在成為人工智慧（AI）在能源和電力市場發展的催化劑。

能源和電力市場的主要企業正致力於開發創新 AI 技術，以滿足商業客戶不斷變化的能源需求。 Gridmatic Retail 就是一個例證，它是一個基於 AI 的電力銷售平台，能夠最佳化清潔能源採購，並為具有先進能源需求的工商業客戶提供可預測性和自動化服務。 Gridmatic 於 2023 年 1 月推出 Gridmatic Retail，旨在簡化可再生能源採購流程，並為客戶提供新一代零售能源產品，包括分時可再生能源、全天候無碳能源和負載可變合約。憑藉業界領先的 AI 技術，Gridmatic Retail 提供先進的分時可再生能源合約和客製化產品，滿足客戶多樣化且複雜的能源需求，加速向淨零排放轉型，並協助實現再生可再生平衡電網。

目錄

第1章執行摘要

第2章 市場特徵

  • 市場定義和範圍
  • 市場區隔
  • 主要產品和服務概述
  • 全球能源電力產業人工智慧（AI）市場：吸引力評分及分析
  • 成長潛力分析、競爭評估、策略契合度評估、風險狀況評估

第3章 市場供應鏈分析

  • 供應鏈與生態系概述
  • 主要原料、資源和供應商清單
  • 主要經銷商和通路合作夥伴名單
  • 主要最終用戶列表

第4章 全球市場趨勢與策略

  • 關鍵技術和未來趨勢
    • 人工智慧（AI）和自主智慧
    • 永續性、氣候技術和循環經濟
    • 物聯網 (IoT)、智慧基礎設施和互聯生態系統
    • 數位化、雲端運算、巨量資料、網路安全
    • 工業4.0和智慧製造
  • 主要趨勢
    • 人工智慧在需求預測最佳化的應用日益廣泛
    • 人工智慧賦能的智慧電網系統的應用日益普及
    • 人工智慧在可再生能源併網中的應用日益廣泛
    • 基於人工智慧的能源管理解決方案的擴展
    • 人工智慧在配電和負載平衡的應用日益廣泛

第5章 終端用戶產業市場分析

  • 商業和工業
  • 住宅
  • 能源公共產業
  • 可再生能源公司
  • 智慧電網服務供應商

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及新冠疫情對市場的影響

第7章 全球策略分析架構、目前市場規模、市場對比及成長率分析

  • 全球能源電力產業人工智慧（AI）市場：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 全球人工智慧（AI）市場規模、比較和成長率分析—能源電力產業
  • 全球人工智慧（AI）市場在能源電力產業的表現：規模與成長，2020-2025年
  • 全球能源電力產業人工智慧（AI）市場：規模與成長，2025-2030年及2035年預測

第8章 全球潛在市場總量（TAM）

第9章 市場細分

  • 透過技術
  • 機器學習、自然語言處理、電腦視覺
  • 透過使用
  • 需求預測、能源生產與分配最佳化、能源管理、智慧電網、智慧電錶及其他應用
  • 最終用戶
  • 適用於商業/工業用途、住宅用途
  • 機器學習按類型細分
  • 預測性維護、需求預測、能源管理系統
  • 自然語言處理 (NLP) 依類型進行子分割
  • 用於客戶服務的聊天機器人、用於能源管理的語音助理、文件分析和報告
  • 電腦視覺細分，按類型
  • 資產監控與檢查、安全監控系統、設備故障偵測

第10章 區域與國家分析

  • 全球能源電力產業人工智慧（AI）市場：按地區、績效和預測分類，2020-2025年、2025-2030年預測、2035年預測
  • 全球能源電力產業人工智慧（AI）市場：按國家、績效和預測分類，2020-2025年、2025-2030年預測、2035年預測

第11章 亞太市場

第12章：中國市場

第13章 印度市場

第14章 日本市場

第15章：澳洲市場

第16章 印尼市場

第17章 韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章：西歐市場

第21章英國市場

第22章 德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章 東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章美國市場

第30章：加拿大市場

第31章 南美洲市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

  • 人工智慧在能源電力領域的應用：競爭格局與市場佔有率（2024 年）
  • 能源電力產業人工智慧（AI）市場：公司估值矩陣
  • 能源電力產業的人工智慧（AI）市場：公司概況
    • Google LLC
    • Microsoft Corporation
    • Mitsubishi Electric Corporation
    • Bosch.IO
    • Siemens AG

第37章：其他領先和創新企業

  • General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc.

第38章 全球市場競爭基準分析與儀錶板

第39章 重大併購

第40章：高潛力市場國家、細分市場與策略

  • 2030年能源與電力領域的人工智慧（AI）：一個充滿新機會的國家
  • 2030年能源與電力領域的人工智慧（AI）：充滿新機會的細分市場
  • 2030年能源電力產業人工智慧（AI）市場：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第41章附錄

簡介目錄
Product Code: EE3MAIAE05_G26Q1

Artificial intelligence (AI) in energy and power involves utilizing AI technologies to optimize energy systems, reduce costs, and enhance efficiency within the energy and power sectors. It encompasses improving predictions of supply and demand, optimizing renewable energy systems such as wind and solar power, and optimizing energy production such as oil and gas exploration and production.

The primary types of technologies in AI for energy and power include machine learning, natural language processing, and computer vision. Machine learning (ML) is a subset of AI that focuses on developing algorithms and statistical models enabling computer systems to enhance their performance on specific tasks over time without explicit programming. It finds applications in various areas, including demand forecasting, energy production and distribution optimization, energy management, smart grids, smart meters, among others. End-users of AI in energy and power span across commercial, industrial, and residential sectors.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

Tariffs on electronic components, sensors, and computing hardware used in AI based energy systems have raised production and deployment costs, particularly affecting smart grid and renewable energy applications in regions reliant on imported technologies. These tariffs most impact commercial and industrial end users, utilities, and smart meter deployments. Despite these constraints, tariffs encourage domestic hardware development, promote software centric AI innovation, and support localized manufacturing, creating selective opportunities for cost efficient AI energy solutions.

The artificial intelligence (AI) in energy and power market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in energy and power market statistics, including artificial intelligence (AI) in energy and power industry global market size, regional shares, competitors with an artificial intelligence (AI) in energy and power market share, detailed artificial intelligence (AI) in energy and power market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in energy and power industry. This artificial intelligence (AI) in energy and power market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The artificial intelligence (AI) in energy and power market size has grown exponentially in recent years. It will grow from $6.45 billion in 2025 to $7.95 billion in 2026 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to early adoption of predictive maintenance tools, rise in renewable energy penetration, growth in demand forecasting systems, increased deployment of smart meters, expansion of digital monitoring infrastructure.

The artificial intelligence (AI) in energy and power market size is expected to see exponential growth in the next few years. It will grow to $18.31 billion in 2030 at a compound annual growth rate (CAGR) of 23.2%. The growth in the forecast period can be attributed to growth in AI driven grid automation, rising adoption of distributed energy resources, increasing need for real time load balancing, expansion of AI based energy analytics platforms, advancement in machine learning models for energy optimization. Major trends in the forecast period include growing use of AI for demand forecasting optimization, increasing adoption of AI enabled smart grid systems, rising deployment of AI in renewable energy integration, expansion of AI based energy management solutions, enhanced use of AI for power distribution and load balancing.

The increasing investments in the energy sector are poised to drive the expansion of the artificial intelligence (AI) in energy and power market in the foreseeable future. These investments involve allocating resources, typically monetary funds, with the aim of generating returns or profits over time. Within the energy and power sectors, investments have been instrumental in harnessing artificial intelligence (AI) in various capacities to enhance decision-making, optimize operations, improve energy management, and elevate the reliability and quality of services across the industry. For example, in October 2025, the International Energy Agency, a France-based intergovernmental organization, reported that capital investments in the energy sector are projected to reach USD 3.3 trillion in 2025, reflecting a 2% real-term increase compared to 2024. Consequently, the escalating investments in energy sectors are serving as a catalyst for the growth of the artificial intelligence (AI) in energy and power market.

Leading companies operating in the artificial intelligence (AI) in the energy and power markets are at the forefront of developing innovative AI advancements to cater to the evolving energy needs of commercial customers. One such advancement is Gridmatic Retail, an AI-enabled power marketer designed to optimize clean energy procurement and offer predictability and automation to commercial and industrial clients with sophisticated energy requirements. Recently introduced by Gridmatic in January 2023, Gridmatic Retail streamlines renewable energy procurement while providing customers with next-generation retail energy products, including time-matched renewables, 24/7 carbon-free energy, and load variability contracts. By leveraging industry-leading AI capabilities, Gridmatic Retail facilitates the transition to net-zero and promotes a balanced renewable-powered grid by offering advanced, time-matched renewable contracts and tailored products for customers with diverse and complex energy needs.

In January 2024, Electric Power Engineers, LLC, a U.S.-based provider of utility engineering, grid integration, and energy-transition consulting services, acquired ENER-i.AI for an undisclosed sum. This acquisition enables Electric Power Engineers to integrate ENER-i.AI's advanced SaaS energy-intelligence platform into its offerings, enhancing capabilities in grid planning and operations optimization. ENER-i.AI, based in the U.S., provides software-as-a-service solutions for energy intelligence, including the ENER-i Energy Intelligence Platform and ENER-i InSights tools for modern power-grid planning and management.

Major companies operating in the artificial intelligence (AI) in energy and power market are Google LLC, Microsoft Corporation, Mitsubishi Electric Corporation, Bosch.IO, Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc., C3.AI Inc., Vayyar Imaging Ltd., Uptake Technologies Inc., Verdigris Technologies Inc., Aurora Solar Technologies, SenseHawk

North America was the largest region in the artificial intelligence (AI) in energy and power market in 2025. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in energy and power market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

The countries covered in the artificial intelligence (AI) in energy and power market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

Artificial intelligence (AI) in the energy and power market includes revenues earned by entities by providing services such as smart grid management, renewable energy forecasting, grid management and optimization, and energy trading. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The artificial intelligence (AI) in the energy and power market consists of sales of smart meters, energy storage systems, building energy management systems, and distribution management systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Artificial Intelligence (AI) in Energy And Power Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in energy and power market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for artificial intelligence (ai) in energy and power ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The artificial intelligence (ai) in energy and power market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Technology: Machine Learning; Natural Language Processing; Computer Vision
  • 2) By Application: Demand Forecasting; Energy Production And Distribution Optimization; Energy Management; Smart Grids; Smart Meter; Other Applications
  • 3) By End-User: Commercial And Industrial; Residential
  • Subsegments:
  • 1) By Machine Learning: Predictive Maintenance; Demand Forecasting; Energy Management Systems
  • 2) By Natural Language Processing (NLP): Chatbots For Customer Service; Voice Assistants For Energy Management; Document Analysis And Reporting
  • 3) By Computer Vision: Asset Monitoring And Inspection; Safety And Surveillance Systems; Fault Detection In Equipment
  • Companies Mentioned: Google LLC; Microsoft Corporation; Mitsubishi Electric Corporation; Bosch.IO; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Group; NVIDIA Corporation; Toshiba Corporation; Emerson Electric Co; Rockwell Automation Inc.; SAS Institute Inc; DNV GL; Sierra Wireless Inc.; C3.ai Inc.; Vayyar Imaging Ltd.; Uptake Technologies Inc.; Verdigris Technologies Inc.; Aurora Solar Technologies; SenseHawk
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) in Energy And Power Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) in Energy And Power Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) in Energy And Power Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) in Energy And Power Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Sustainability, Climate Tech & Circular Economy
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Growing Use Of Ai For Demand Forecasting Optimization
    • 4.2.2 Increasing Adoption Of Ai Enabled Smart Grid Systems
    • 4.2.3 Rising Deployment Of Ai In Renewable Energy Integration
    • 4.2.4 Expansion Of Ai Based Energy Management Solutions
    • 4.2.5 Enhanced Use Of Ai For Power Distribution And Load Balancing

5. Artificial Intelligence (AI) in Energy And Power Market Analysis Of End Use Industries

  • 5.1 Commercial And Industrial
  • 5.2 Residential
  • 5.3 Energy Utilities
  • 5.4 Renewable Energy Operators
  • 5.5 Smart Grid Service Providers

6. Artificial Intelligence (AI) in Energy And Power Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) in Energy And Power Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) in Energy And Power PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) in Energy And Power Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) in Energy And Power Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) in Energy And Power Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) in Energy And Power Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) in Energy And Power Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Natural Language Processing, Computer Vision
  • 9.2. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Demand Forecasting, Energy Production And Distribution Optimization, Energy Management, Smart Grids, Smart Meter, Other Applications
  • 9.3. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Commercial And Industrial, Residential
  • 9.4. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Predictive Maintenance, Demand Forecasting, Energy Management Systems
  • 9.5. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Chatbots For Customer Service, Voice Assistants For Energy Management, Document Analysis And Reporting
  • 9.6. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Asset Monitoring And Inspection, Safety And Surveillance Systems, Fault Detection In Equipment

10. Artificial Intelligence (AI) in Energy And Power Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence (AI) in Energy And Power Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) in Energy And Power Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) in Energy And Power Market

  • 12.1. China Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) in Energy And Power Market

  • 13.1. India Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) in Energy And Power Market

  • 14.1. Japan Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) in Energy And Power Market

  • 15.1. Australia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) in Energy And Power Market

  • 16.1. Indonesia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) in Energy And Power Market

  • 17.1. South Korea Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) in Energy And Power Market

  • 18.1. Taiwan Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) in Energy And Power Market

  • 19.1. South East Asia Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) in Energy And Power Market

  • 20.1. Western Europe Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) in Energy And Power Market

  • 21.1. UK Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) in Energy And Power Market

  • 22.1. Germany Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) in Energy And Power Market

  • 23.1. France Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) in Energy And Power Market

  • 24.1. Italy Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) in Energy And Power Market

  • 25.1. Spain Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) in Energy And Power Market

  • 27.1. Russia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) in Energy And Power Market

  • 28.1. North America Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) in Energy And Power Market

  • 29.1. USA Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) in Energy And Power Market

  • 30.1. Canada Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) in Energy And Power Market

  • 31.1. South America Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) in Energy And Power Market

  • 32.1. Brazil Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) in Energy And Power Market

  • 33.1. Middle East Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) in Energy And Power Market

  • 34.1. Africa Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) in Energy And Power Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) in Energy And Power Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) in Energy And Power Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) in Energy And Power Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) in Energy And Power Market Company Profiles
    • 36.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Mitsubishi Electric Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Bosch.IO Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) in Energy And Power Market Other Major And Innovative Companies

  • General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc.

38. Global Artificial Intelligence (AI) in Energy And Power Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Artificial Intelligence (AI) in Energy And Power Market

40. Artificial Intelligence (AI) in Energy And Power Market High Potential Countries, Segments and Strategies

  • 40.1 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer